Directional preparation of anticoagulant-active sulfated polysaccharides from Enteromorpha prolifera using artificial neural networks

被引：52

作者：

Cui, Jiefen ^{[1
]}

Li, Yinping ^{[1
,2
]}

Wang, Shixin ^{[3
]}

Chi, Yongzhou ^{[1
]}

Hwang, Hueymin ^{[4
]}

Wang, Peng ^{[1
]}

机构：

[1] Ocean Univ China, Coll Food Sci & Engn, Qingdao 266003, Peoples R China

[2] Qingdao Univ Sci & Technol, Coll Marine Sci & Biol Engn, Qingdao 266042, Peoples R China

[3] Marine Biomed Res Inst Qingdao, Qingdao 266071, Peoples R China

[4] Jackson State Univ, Biol Dept, Jackson, MS 39217 USA

来源：

SCIENTIFIC REPORTS | 2018年 / 8卷

关键词：

STRUCTURAL CHARACTERISTICS; CHEMICAL CHARACTERISTICS; IN-VITRO; DEGRADATION; SEA;

D O I：

10.1038/s41598-018-21556-x

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];

摘要：

The sulfated polysaccharides from Enteromorpha prolifera (PE) are a potential source of anticoagulant agents. In this study, the PE was degraded by specific degradase and five hydrolysis products with different molecular weights were prepared. The product of 206 kDa is a kind of high rhamnose-containing polysaccharide with sulfate ester (34.29%). It could effectively prolong the activated partial thromboplastin time (APTT), which indicated inhibition of the intrinsic coagulation pathway. The artificial neural network (ANN) was built to realize the directional preparation of anticoagulant-active polysaccharides. Based on monitoring glucose concentration on-line, a visualization system of enzymatic hydrolysis was developed to simplify the operation of ANN. The model could be further applied to predict molecular weights of polysaccharides that possess diverse biological activities.

引用

页数：9

共 43 条

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